9 citations · 29 across the 12 of their papers we have counts for
4 papers · 1 filter
Multi-Microphone Noise Data Augmentation for DNN-based Own Voice Reconstruction for Hearables in Noisy Environments
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Hearables with integrated microphones may offer communication benefits in noisy working environments, e.g. by transmitting the recorded own voice of the user. Systems aiming at rec…
Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with In-ear Microphones
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Many hearables contain an in-ear microphone, which may be used to capture the own voice of its user. However, due to the hearable occluding the ear canal, the in-ear microphone mos…
Speech-dependent Modeling of Own Voice Transfer Characteristics for In-ear Microphones in Hearables
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo
Many hearables contain an in-ear microphone, which may be used to capture the own voice of its user in noisy environments. Since the in-ear microphone mostly records body-conducted…
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping
Paul M. Reuter, Christian Rollwage, Bernd T. Meyer
In this paper, we propose a multilingual query-by-example keyword spotting (KWS) system based on a residual neural network. The model is trained as a classifier on a multilingual k…